{"id":17389,"date":"2016-09-14T12:55:44","date_gmt":"2016-09-14T12:55:44","guid":{"rendered":"http:\/\/www.takbook.com\/best\/investigation-bat-algorithm-based-on-artificial-bee-colony-and-c-means\/"},"modified":"2016-09-14T12:55:44","modified_gmt":"2016-09-14T12:55:44","slug":"investigation-bat-algorithm-based-on-artificial-bee-colony-and-c-means","status":"publish","type":"post","link":"https:\/\/www.takbook.com\/best\/investigation-bat-algorithm-based-on-artificial-bee-colony-and-c-means\/","title":{"rendered":"Investigation Bat Algorithm Based on Artificial Bee Colony and C-means"},"content":{"rendered":"<div style=\"text-align:center;direction:rtl\">\n<div style=\"border:1px solid #000000!important;padding:12px!important;overflow:auto!important;background:#ffffff!important;margin-bottom:10px;min-width:300px!important;max-width:500px!important;\"><a href=\"http:\/\/par3.4kia.ir\/info\/40371\/i\/?getppsid=18004\" target=\"_blank\" rel=\"nofollow\"><img src=\"http:\/\/www.takbook.com\/best\/wp-content\/uploads\/2016\/09\/14747_1469892831-1.jpg\" alt=\"Investigation Bat Algorithm Based on Artificial Bee Colony and C-means\" style=\"float:right !important;margin:0 !important;margin-left:10px !important;padding-top:10px !important;width:130px;height:125px;\" \/><\/a><\/p>\n<h3 style=\"font:bold 14px\/1.7 Tahoma!important;margin-top:0px!important;\"><a href=\"http:\/\/par3.4kia.ir\/info\/40371\/i\/?getppsid=18004\" target=\"_blank\" style=\"text-decoration:none!important;color:#195ada!important;\" rel=\"nofollow\">Investigation Bat Algorithm Based on Artificial Bee Colony and C-means<\/a><\/h3>\n<p style=\"font:200 13px\/1.5 Tahoma!important;text-align:justify!important;direction:rtl!important;color:#000000\">In this study a Bat algorithm clustering is proposed that is based on Artificial Bee Colony (ABC)and Fuzzy C-means (FCM). When FCM is applied on high dimensional dataset, it usually resultsin local optimal partitioning. In this paper we address this problem and used a recently developedevolutionary technique named Artificial Bee Colony in combination to FCM. Hence, the name isFuzzy Cmeans Bee (FCB) algorithm. The method can detect globally optimal cluster centeroidsbetter than FCM as a most wildly used and popular clustering technique. To demonstrateperformance of the proposed algorithm of FCM we used it for some standard dataset UCI datasets.The results show that FCB converge to global faster than FCM and ABC&#8230;.<\/p>\n<div style=\"text-align:center\"><a href=\"http:\/\/par3.4kia.ir\/info\/40371\/i\/?getppsid=18004\" target=\"_blank\" style=\"background-color:#195ada!important;color:#ffffff!important;text-decoration:none!important;font-size:20px!important;font-weight:bold!important;padding:6px 10px;font-family:arial;\" rel=\"nofollow\">\u062c\u0632\u0626\u06cc\u0627\u062a \u0628\u06cc\u0634\u062a\u0631 \/ \u062f\u0627\u0646\u0644\u0648\u062f<\/a><\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Investigation Bat Algorithm Based on Artificial Bee Colony and C-means In this study a Bat algorithm clustering is proposed that is based on Artificial Bee Colony (ABC)and Fuzzy C-means (FCM). [&#8230;]<\/p>\n","protected":false},"author":1,"featured_media":17390,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"amp_status":""},"categories":[11],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v14.9 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Investigation Bat Algorithm Based on Artificial Bee Colony and C-means - \u067e\u0631\u0648\u0698\u0647 \u0647\u0627<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.takbook.com\/best\/investigation-bat-algorithm-based-on-artificial-bee-colony-and-c-means\/\" \/>\n<meta property=\"og:locale\" content=\"fa_IR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Investigation Bat Algorithm Based on Artificial Bee Colony and C-means - \u067e\u0631\u0648\u0698\u0647 \u0647\u0627\" \/>\n<meta property=\"og:description\" content=\"Investigation Bat Algorithm Based on Artificial Bee Colony and C-means In this study a Bat algorithm clustering is proposed that is based on Artificial Bee Colony (ABC)and Fuzzy C-means (FCM). 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